基于RAGA的PPC模型在水稻节水效益评价中的应用  

Applying PPC model based on RAGA in the evaluating the benefit of rice water saving

作　　者：付强[1] 李晓秋[2] 肖建民[2] 

机构地区：[1]四川大学水电学院,成都610065 [2]黑龙江省水利水电勘测设计研究院哈尔滨,150080

出　　处：《黑龙江水专学报》2001年第4期18-22,共5页Journal of Heilongjiang Hydraulic Engineering College

基　　金：中国博士后科学基金与四川大学青年基金资助项目(4 3 2 0 2 8)

摘　　要：针对水稻节水效益评价问题 ,采用高维降维技术———投影寻踪分类模型 (PPC) ,利用基于实数编码的加速遗传算法 (RA GA)优化其投影方向 ,将多维数据指标 (样本评价指标 )转换到低维子空间 ,根据投影函数值的大小评价出样本的优势 ,从而做出决策。最大限度避免了模糊综合评判等方法中权重矩阵取值的人为干扰 ,取得了满意效果 。Through applying PPC model based on RAGA in the evaluating the benefit of rice water saving,the author turns multi dimension data into low dimension space.So the optimum projection direction can stand for the best influence to the collectivity.Thus,the value of projection function can evaluate each item good or not.The PPC model can avoid jamming of weight matrix in the method of fuzzy synthesize judgement,and obtain better result.The author wants to provide a new method and thought for readers who engaged in investment decision making of water saving irrigation and other relative study.

关 键 词：RAGA PPC 节水效益 评价 水稻 模型 

分 类 号：F323.213[经济管理—产业经济] S511[农业科学—作物学]